Cloud✦ Official

azure-cloud-migrate

Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services.

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

0

total installs

0

this week

180

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/microsoft/GitHub-Copilot-for-Azure --skill azure-cloud-migrate

0

installs

0

this week

180

stars

What it does

  • Supports migration from AWS Lambda to Azure Functions with scenario-specific conversion rules and best practices

  • Generates assessment reports mapping source services to Azure equivalents before any code conversion

  • Converts source code to target Azure runtime models using documented migration patterns and MCP tools for best practices

  • Outputs all artifacts to a separate <source-folder>-azur

Category

Cloud

Last updated

Apr 8, 2026

Installation Guide

How to use azure-cloud-migrate on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add azure-cloud-migrate
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/microsoft/GitHub-Copilot-for-Azure --skill azure-cloud-migrate

Fetches azure-cloud-migrate from microsoft/GitHub-Copilot-for-Azure and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/azure-cloud-migrate

Restart Cursor to activate azure-cloud-migrate. Access via /azure-cloud-migrate in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

Azure Cloud Migrate

This skill handles assessment and code migration of existing cloud workloads to Azure.

Rules

  1. Follow phases sequentially — do not skip
  2. Generate assessment before any code migration
  3. Load the scenario reference and follow its rules
  4. Use mcp_azure_mcp_get_bestpractices and mcp_azure_mcp_documentation MCP tools
  5. Use the latest supported runtime for the target service
  6. Destructive actions require ask_userglobal-rules

Migration Scenarios

Source Target Reference
AWS Lambda Azure Functions lambda-to-functions.md

No matching scenario? Use mcp_azure_mcp_documentation and mcp_azure_mcp_get_bestpractices tools.

Output Directory

All output goes to <source-folder>-azure/ at workspace root. Never modify the source directory.

Steps

  1. Create <source-folder>-azure/ at workspace root
  2. Assess — Analyze source, map services, generate report → assessment.md
  3. Migrate — Convert code using target programming model → code-migration.md
  4. Ask User — "Migration complete. Test locally or deploy to Azure?"
  5. Hand off to azure-prepare for infrastructure, testing, and deployment

Track progress in migration-status.md — see workflow-details.md.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.656 reviews
  • A
    Amelia SethiDec 28, 2024

    We added azure-cloud-migrate from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • B
    Benjamin WhiteDec 24, 2024

    Keeps context tight: azure-cloud-migrate is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • N
    Noah LiDec 16, 2024

    azure-cloud-migrate is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • C
    Chaitanya PatilDec 12, 2024

    Keeps context tight: azure-cloud-migrate is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • P
    Pratham WareDec 8, 2024

    azure-cloud-migrate fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • B
    Benjamin NdlovuDec 4, 2024

    azure-cloud-migrate is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • H
    Hassan GonzalezNov 23, 2024

    Solid pick for teams standardizing on skills: azure-cloud-migrate is focused, and the summary matches what you get after install.

  • D
    Daniel TandonNov 15, 2024

    azure-cloud-migrate has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • N
    Noah MartinezNov 7, 2024

    azure-cloud-migrate fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • P
    Piyush GNov 3, 2024

    azure-cloud-migrate has been reliable in day-to-day use. Documentation quality is above average for community skills.

showing 1-10 of 56

1 / 6

Discussion

Comments — not star reviews
  • No comments yet — start the thread.